TL;DR

Member Of Technical Staff (Applied AI): Develop and integrate advanced Computer Use Agents (CUAs) focusing on automating complex, long-horizon tasks and building evaluation frameworks for real-world AI performance. Focus on designing scalable systems, translating research into production, and optimizing AI agent utility in enterprise environments.

Location: Based in Palo Alto with hybrid work; must be located near Palo Alto or open to relocation within the United States

Salary: $180,000 - $440,000 USD annually

Company

%hirify_global% is a mission-driven AI company focused on creating systems that understand the universe and aid humanity's pursuit of knowledge, operating with a flat structure and emphasizing engineering excellence.

What you will do

Build best-in-class Computer Use Agents to automate repetitive and complex long-horizon tasks.
Integrate CUAs into production systems ensuring alignment with user needs and business goals.
Design and implement next-generation evaluation suites capturing real-world AI utility and performance.
Collaborate with research teams to translate cutting-edge AI techniques into production-ready solutions.
Optimize performance and impact of AI agents in enterprise applications.

Requirements

Location: Must be based near Palo Alto or open to relocation within the United States
Strong communication skills and ability to share knowledge concisely.
Experience designing evaluation frameworks and benchmarking AI systems in real-world settings.
Expertise in statistical analysis and experimental design.
Ability to work in a hybrid environment with office presence expected most days.

Culture & Benefits

Flat organizational structure with leadership based on initiative and delivery.
Highly motivated, small team focused on engineering excellence.
Hybrid work model with flexibility for work-from-home days.
Equal opportunity employer.

Hiring process

Initial 15-minute phone interview with basic questions.
Four technical interviews including coding assessments, system design, and team presentation.
All interviews conducted remotely via Google Meet.
Goal to complete main process within one week.